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Scoring Essays Automatically Using Surface Features GREB

Author(s):
Kaplan, Randy M.; Wolff, Susanne; Burstein, Jill; Lu, Chi; Rock, Donald A.; Kaplan, Bruce A.
Publication Year:
1998
Report Number:
RR-98-39, GREB-94-21P
Source:
ETS Research Report
Document Type:
Report
Page Count:
12
Subject/Key Words:
Graduate Record Examinations Board, Essay Tests, Scoring, Automation, Automated Scoring and Natural Language Processing

Abstract

Surface features of essays include nonlinguistic characteristics, such as total number of words per essay (essay length), sentence length, and word length, as well as linguistic characteristics, such as the total number of grammatical errors, the types of grammatical errors, or the kinds of grammatical constructions (e.g., passive or active) that appear in an essay. This study examines the feasibility of using linguistic and nonlinguistic surface characteristics in an automatic procedure for predicting essay scores. It builds on earlier work by R. M. Kaplan, Burstein, Lu, B. Kaplan, Wolff (1995), Page (1966), and Page and Petersen (1995).

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